---
title: "Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF"
category: "slides"
video_id: "htM02KMNZnk"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF

## Source Video
[WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF](https://www.youtube.com/watch?v=htM02KMNZnk)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/htM02KMNZnk/slide-001.jpg]]

OCR text:

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OCR text:

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![[assets/slides/htM02KMNZnk/slide-005.jpg]]

OCR text:

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> PRESENTED BY
> Microsoft Intrinsic
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> =air OpenAl
> er. 1d'sFair UIEn OnAlandKnowledge
> =air DATADOG PabloCastro / CVP&Distinguished Engineen Microsoft

![[assets/slides/htM02KMNZnk/slide-006.jpg]]

OCR text:

> AlEngineer
> World'sFair
> OpenClaw-sized apps, not a single line written by hand
> Opus4.5 ships,agents write entire simple apps
> Cursor launches.GitHub Copilot X expands to chat,PRs,etc.
> IntelliSense: type-driven autocomplete
> PRESENTED BY
> GitHub Copilot suggests whole lines & functions
> IntelliCoderankscompletionswithML
> Microsoft
> World'sFair
> OpenA.
> W
> World's
> Engineering the future of Al
> DATAD
> W

![[assets/slides/htM02KMNZnk/slide-007.jpg]]

OCR text:

> World'sFair AlEngineer Your people.Your agents. Your IQ.
> Interactive Autonomous
> People Agents
> PRESENTED BY
> Microsoft MicrosoftIQ
> and workflows Teams,roles, State and actions of the business knowledge Curated
> World'-Eair
> W Engineering the future of Al
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![[assets/slides/htM02KMNZnk/slide-008.jpg]]

OCR text:

> AI Engineer
> World's Fair
> Presented by
> Microsoft
> Foundry IQ
> Retrieval relevance by dataset
> BER (NDCG@10)
> MIRACL (NDCG@10)
> Customer (NDCG@3)
> MIML (NDCG@3)
> Support (NDCG@3)
> Keyword Vector Hybrid Hybrid + Reranking

![[assets/slides/htM02KMNZnk/slide-009.jpg]]

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![[assets/slides/htM02KMNZnk/slide-010.jpg]]

OCR text:

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> cand_e6be2af2a37e41ad9d936288953ef49b
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> Engineering the future of Al

![[assets/slides/htM02KMNZnk/slide-011.jpg]]

OCR text:

> ALEXANDER
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![[assets/slides/htM02KMNZnk/slide-012.jpg]]

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![[assets/slides/htM02KMNZnk/slide-013.jpg]]

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![[assets/slides/htM02KMNZnk/slide-014.jpg]]

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![[assets/slides/htM02KMNZnk/slide-015.jpg]]

OCR text:

> World'sFair AlEngineer
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![[assets/slides/htM02KMNZnk/slide-016.jpg]]

OCR text:

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![[assets/slides/htM02KMNZnk/slide-017.jpg]]

OCR text:

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![[assets/slides/htM02KMNZnk/slide-018.jpg]]

OCR text:

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> Engineering the future of AI

![[assets/slides/htM02KMNZnk/slide-019.jpg]]

OCR text:

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![[assets/slides/htM02KMNZnk/slide-020.jpg]]

OCR text:

> AI Engineer
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> Engineering the future of AI

![[assets/slides/htM02KMNZnk/slide-021.jpg]]

OCR text:

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> @PaulSolt · Follow
> My NEW Codex workflow is better than I expected.
> 8 new features ready for release in my app.
> Took a few attempts to figure out the workflow and some bugs. Feels like the future.
> Thanks @Dimillian @emanueledpt and @steipete for the inspiration.
> Engineering the future of AI

![[assets/slides/htM02KMNZnk/slide-022.jpg]]

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![[assets/slides/htM02KMNZnk/slide-023.jpg]]

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OCR text:

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![[assets/slides/htM02KMNZnk/slide-027.jpg]]

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OCR text:

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OCR text:

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![[assets/slides/htM02KMNZnk/slide-035.jpg]]

OCR text:

> # unedited, from the threads HARD DATA
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![[assets/slides/htM02KMNZnk/slide-036.jpg]]

OCR text:

> X wrong question: can we make the model deterministic.
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![[assets/slides/htM02KMNZnk/slide-037.jpg]]

OCR text:

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OCR text:

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![[assets/slides/htM02KMNZnk/slide-040.jpg]]

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> World'sFair AlEngineer
> PRESENTED BY Microsoft 1.Staynear thefrontier
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> World's Fair ;
> 
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> World'sFair
> You are watching an AlE Online Talk
> Pre-RecordedforWorio'sFair2026.
> TWOBRAINS,ONEREVOLVINGDOOR
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> World's Fair

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> You are watching an AlE Online Tak
> Pre-Recordedfor Worlo'sFar2026.
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> World's Fair .
> Imagine a language that...
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> AEngie
> World'sFair
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> Pre-Recorded for Worid's Fair 2026.

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> World'sFair AEngi Pre-Recorded for Worid'sFair2026 You are watching an AlE Online Talk
> 10x THEPROMISE
> That should make us 10 times more productive,right?
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> AEngi
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> You are watching an AiE Online Talk
> Pre-Recorded for Worid's Fair 2026.

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> This is when productivity actually explodes.
> Designer
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> World'sFair AEng our evaluationmethods AIsystems evolved fasterthan You are watching an AJE Onine Talk Pre-Recorded for WorldsFair 2026.
> The Illusion TheReality
> 100% Modes Invisible Failure
> 75% Degraded Production Behavior
> BenchmarkAccuracy 90% 50% 25% 0% T-0 T+10ms T+50ms AMAAAA Reliability Gaps Unpredictable User T+100ms

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> World'sFair AIEngineer Unapologetically Agent-First. AGoogleAntigravity
> PRESENTED BY
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OCR text:

> Google Antigravity
> 2022
> Autocomplete + Chat
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> 2024
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> 2025
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> Multiple agents in parallel
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> 2026
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> Engineering the future of AI

![[assets/slides/htM02KMNZnk/slide-079.jpg]]

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> Scaling with intelligence isn’t always easy
> Giving AI a Terminal
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> Removing Chat, Only Agent
> Lots of user pushback removing chat in favor of agents
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> Engineering the future of AI

![[assets/slides/htM02KMNZnk/slide-080.jpg]]

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> World'sFair AlEngineer AGoogle Antigravity New Primitives for2026
> SIDECARS
> PRESENTED BY Microsoft modelcanrun&edititself. Longlivedutilitiesthatthe
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> Engineering the future of Al

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> World's Fair
> Get out of the model’s way
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> World'sFair
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> specification
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![[assets/slides/htM02KMNZnk/slide-086.jpg]]

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> World's Fair AIEngineer agenticdevelopment Theevolutionof
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> eee izle
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> Agenda
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> AEngi
> World'sFair
> You are watching an AIE Online Talk
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> OpenGov
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> ontheagentsteamreallyhelping

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> AIEngineer
> World'sFair
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> AIEngineer
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> AIEngineer
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> AIEngineer
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> AI Engineer
> World's Fair
> You are watching an AIE Online Talk
> Pre-Recorded for World's Fair 2026
> User Signal dies at the
> Retrieval Boundary.
> Sonam Pankaj
> CEO & Co-Founder StarlightSearch
> agentRTX

![[assets/slides/htM02KMNZnk/slide-102.jpg]]

OCR text:

> World'sFair Pre-Recorded forWorid'sFair2026 You are watching an AIE Online Talk
> Themissing layerbetweenevals and action
> Observability Evals Agent
> stackcapturesevery toolcall,everyLLM Your observability ompletion,and whetherthefinaloutput Your eval suite judges was correct. TheGAP Context,Skills and.md file
> veryexception.
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![[assets/slides/htM02KMNZnk/slide-103.jpg]]

OCR text:

> In practice, most agent memory frameworks have focused on user continuity: preferences,
> profile facts, conversation history, and long-lived personalization.
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> AEngi
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> World's Fair ed ‘
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> AIEngineer
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> World'sFair
> You are watching an AlE Online Talk
> Pre-Recorded for Worio's Fair 2026.
> OpenGov
> Effect
> ontheagentsteamreallyhelping

![[assets/slides/htM02KMNZnk/slide-109.jpg]]

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> +/ Streaming chat with tool support = b hg
> const streamingChat Effect.gen functions fs 8 I
> const chat sie .Ge Chat empty .
> Effect-native.
> yie’ te chat
> stregnTert
> prompt “Lecrrgte a cemative stata”
> Pipe Stream runforfach part ~ Effect. sync “+ console log part
> we could pass in a different

![[assets/slides/htM02KMNZnk/slide-110.jpg]]

OCR text:

> eyes ete
> Opener FT ity Rang. tanmee  e teteen meeps wet tte dee tom ee 0 @ or ee
> Cloud City, USA uroniseee ‘ S rr Fi 5 P
> omen ipping is the
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> ne Sooo eee alee tars
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> wee ‘ a si oe ae ~
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> oo ea econ tee me eer err errr
> Cee ee ee . = ” ns ad
> team is we have kind of multiple ( \

![[assets/slides/htM02KMNZnk/slide-111.jpg]]

OCR text:

> World's Fair
> Pleats croate a POF wth beaut at to
> greet the folks of the Al Engineer
> Corterorce 7076 Pisate allow me to
> Gownioad +t to share with them
> aeerege & Sandboxing
> Done
> oat ne nln MN Room to act
> ond made it wreisble for donnioad T incudes orginal Ai 3
> Epa GENO ative art Worl and 8 warm greeting Mestage
> tor comMerence attendees
> safely.
> in) At Ungerer Contorence 2026 Greeting FOF
> © comes
> ho se
> Code runs in isolated sandboxes. so agents can take feal action
> without putting production systems or customer data at risk.
> hype sur menage a.
> & ¥ ——
> wees Or tries to create files, it does soina

![[assets/slides/htM02KMNZnk/slide-112.jpg]]

OCR text:

> -pun
> UpgradetoPro
> AIEngineer
> Fpipeline.baml A
> Faoent.bamlA
> Esimple.bamlA
> Fcalc.
> FBAMLPlayground×
> World'sFair
> baml_src>ns_images)
> Fpipeine.baml
> sictx.output_rormat;
> udeao
> Trace
> FLane
> QSearch functions
> Mode:
> Include
> function inproving_inage(goal: string="a founder building a progre
> POpe
> Function
> Origin Thread
> systes
> calls
> leting:inage=generate_inage（goal);
> let judge:JudgeResponse=evaluate_inage(ing,goal);
> FUNCTION
> ORIGIN
> SELF TIHE
> user.inages.inpro.
> 0.06ns
> letattenpts:int=0;
> user.inages.gener-
> s.genera.
> vhile （judge.score<e.956attenpts<10）{
> iser
> 9799es
> ing=generate_image(goal);
> judge evaluate_inage(ing.goat):
> user,inages.evalu.
> User
> 6467ms
> return ing:
> user.inages.AiGat..
> 0.16ms
> FE
> .<tagged(generate
> 0.01ns
> class JudgeResponse
> score:float,
> reason:string.
> inplements baml.ToString
> function to_string(self)->string throwsnever{
> oFair
> return'Score:s(self.score),Reason:s(self.reason):
> main*+Launchpadweek-2O0Lve ShareGitGraphBAML
> Engineering the future of Al

![[assets/slides/htM02KMNZnk/slide-113.jpg]]

OCR text:

> pipeline.baml-ale-indexAdded
> AIEngineer
> Fpipeline.bamlAX
> Fagent.bamlA
> New Agent Terminal
> World'sFair
> baml_src>ns_images）
> Fpipelne.baml
> s(ctx.output_rormat)
> function is_true
> (assert.is_true)builtin>/assert/assert.banl:4-1e
> // Hard assertions - throv and stop execution on fallure.
> Op
> Piayoround
> functionis_true（condition:bool）-→null{
> functioninproving_inage(goal:string="afounder builds
> if（icondition）{
> let ing:inage =generate_inage（goal);
> banl.sys.panic("assertion failed:expected true)
> PRESENTED BY
> let judge:JudgeResponse evaluate_inage(ing,goal)
> )else.
> null
> let attemptsi int=0;
> Microsoft
> vhite（judge.score<0.956attempts<10）{
> ing=generate_inage（goat):
> o（aie)vbv@Vaibhavs-MacBook-Pro-3aie
> references (e):
> judge=evaluate_inage(ing,goal):
> return ing:
> class JudgeResponse
> score:float,
> reason:string,
> inplementsbaml.ToString
> 6E
> function to_string(self)->string throws never
> d'sFair
> return'Score:s(self.score),Reason:siself.
> d+
> Ln30,Col1Spaces:4UTF-8LFBAMLPrettier
> te
> Engineering the future of Al

![[assets/slides/htM02KMNZnk/slide-114.jpg]]

OCR text:

> "eva (e ka 2) a
> _ BAML is a data-driven language.
> Seed
> Ae te pp FRM ar eget we at ae ae od ehat a ee feed
> ue @ Re ete neeteee -
> a s, Sateen
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> i" (Ge cE RR, SERIE, 00h cI OE hee thy SUE STO
> a
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> «Nem ogere
> Type Scr gt bie tyre made the Beas Erredaton a drect Uansaton
> rece
> | t's Fair
> band apert
> wer |
> oe i ; i f Al
> Coo Engineering the future o

![[assets/slides/htM02KMNZnk/slide-115.jpg]]

OCR text:

> handler.baml-aie-IndexAdded
> Upgrade toPro+
> AIEngineer
> World'sFair
> aml1,M
> handler.bamlAX
> main.pyM
> baml_src>ns_timer>Ehandler.baml>.
> main.py>
> Open
> Playground|You,1hour ago |1 author[You)
> function with_timeout<T>（millis:int,f:
> let work:Future<T,null>=spawn
> f()
> def safe_python():
> defwork（):
> PRESENTED BY
> let timer:Future<never,baml.errors.Io
> tine.sleep(10)
> baml.sys.sleep(delay:baml.time.Dur
> return"Done"
> Microsoft
> work.cancel():
> throw TimeoutErrormessage:Oper
> #Set a timeout of 1eee milliseconds （1 second)
> result=root.timer.with_timeout（1ooe,work)
> print(f"Result:(result)")
> let result:Future<T,baml.errors.Io
> awaitresult
> class TimeoutError
> message:string,
> AL!
> Worl
> implements baml.ToString
> function to_string(self)->string
> raturn calfmeceane.
> main*+Launchpadweek-2
> @0A1
> Live Share Git Graph
> BAML
> UTF-8LF()BAMLPrettier
> Engineering the future of Al

![[assets/slides/htM02KMNZnk/slide-116.jpg]]

OCR text:

> World'sFair Pre-Recorded forWorid'sFair2026. You are watching an AIE Online Talk
> The Paradigm Shift:Output vs.Behavior
> Traditional LLM Evaluation AgentEvaluation
> Goal Output Accuracy Workflow Behavior
> Environment Static Datasets Dynamic Contexts
> Execution Single-path Processing Multi-path&ToolDependent
> Failure Mode Hallucination Cascading Workflow Failure

![[assets/slides/htM02KMNZnk/slide-117.jpg]]

OCR text:

> eee 1g .
> Offline Evals: Scenario-Driven Simulation ee
> PO ee eee
> i
> Agent Sandbox Discrete Outputs
> ‘
> Test Runner : Leama Cas Ges 3
> i Tools Update Completion Rate 98.5%
> \ Tool Correctness 166%
> \ Plan Quality High
> - i: Simulated Cost $0.65
> Scenario-driven, not prompt-driven.

![[assets/slides/htM02KMNZnk/slide-118.jpg]]

OCR text:

> World'sFair AlEngineer
> We're all building loops wrong
> AI
> Loop Engineering from First Principles|Kyle Mistele|@Oxblacklight World'sFair

![[assets/slides/htM02KMNZnk/slide-119.jpg]]

OCR text:

> Eaten od
> World's Fair
> Ps Peter Steinberger
> a
> Don't worry it'll take 3 months until it’s there.
> We'll be talking about fleets that design your loops then.
> Ree PV
> : re ee Pi aden 2 eres an
> $3 Br A -
> W e e oe
> , Engineering the future of Al
> v7

![[assets/slides/htM02KMNZnk/slide-120.jpg]]

OCR text:

> World'sFair
> You are watching an AJE Online Taik
> Pre-Recorded for Worid's Fair 2026.
> specification
> implementation

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.